Metaheuristics are considered state-of-the-art methods for many hard optimization problems. At some point, however, it has become evident that the concentration on a sole metaheuristic is rather restrictive. A skilled combination of concepts from different optimization techniques can provide a more efficient behavior and a higher flexibility when dealing with real-world and large-scale problems. Hybrid Metaheuristics are techniques for optimization that combine different metaheuristics or integrate AI/OR techniques into metaheuristics. Since 2004, the HM Workshops are considered to be an international forum for researchers in the area hybrid metaheuristics.